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Profile and context filtering of streaming data for a mobile personal assistant

DocUID: 2004-007 Full Text: PDF

Author: Alan Berfield, Jonathan Beaver, Panos K. Chrysanthis

Abstract: A key component in an ubiquitous computing environment is a personal assistant that can provide a link between devices and services and a human user. A large part of interactions in such an environment is expected to be using XML data. In this paper we present the use of profiles and context to obtain useful information from streaming documents. The user profile contains all the preferences and information on typical behavior for the user. This information can be entered by the user and learned over time. As the profile is never shared or transmitted, strict user privacy is maintained. Context information includes current day and time, and the user's location. We have implemented our ideas in an intelligent personal assistant, iPA, within the context of mobile commerce.

Published In: ACM Symposium on Applied Computing

ISBN: 1-58113-812-1

Pages: pp. 1-2

Place Published: Nicosia, Cyprus

Year Published: 2004

Note: DOI:10.1145/967900.968221

Project: Others Subject Area: Workflow Management, Mobile Databases

Publication Type: Conference Paper

Sponsor: NSF ITR ANI-0325353

Citation:Text Latex BibTex XML Alan Berfield, Jonathan Beaver, and Panos K. Chrysanthis. Profile and context filtering of streaming data for a mobile personal assistant, ACM Symposium on Applied Computing (SAC'04), pp. 1-2, 1-58113-812-1 , Nicosia, Cyprus, March 2004.(DOI:10.1145/967900.968221)